Roberto Piva
Impact in
-
- Lymphoma Diagnosis and Treatment
- Oncology top 2%
- Lung Cancer Research Studies
- Cancer-related Molecular Pathways
- Cytokine Signaling Pathways and Interactions
Papers in
- Genetics 19
- Chronic Lymphocytic Leukemia Research 9
- Glioma Diagnosis and Treatment 7
-
- Lymphoma Diagnosis and Treatment 21
- Co-authors
- Giorgio InghiramiRoberto ChiarleChiara AmbrogioClaudia VoenaAntonio MigheliDavide SchifferMassimo SantoroGiuseppe Belardo
- Journals
- Blood (9 papers)Cancers (8 papers)Journal of Neuropathology & Experimental Neurology (6 papers)British Journal of Haematology (3 papers)Haematologica (3 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Roberto Piva
109 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Pathology and Forensic Medicine 1.2k
- Oncology 1.5k
- Cancer Research 779
- Genetics 449
- Neurology 551
Countries citing papers authored by Roberto Piva
This map shows the geographic impact of Roberto Piva's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Roberto Piva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Piva more than expected).
Fields of papers citing papers by Roberto Piva
This network shows the impact of papers produced by Roberto Piva. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Roberto Piva. The network helps show where Roberto Piva may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Piva, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 6 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 6 | |
| 8 | 2020 | 1 | |
| 9 | 2020 | 69 | |
| 10 | 2017 | 17 | |
| 11 | 2014 | 44 | |
| 12 | 2012 | 19 | |
| 13 | 2012 | 39 | |
| 14 | 2011 | 8 | |
| 15 | 2006 | 133 | |
| 16 | 2005 | 103 | |
| 17 | 2002 | 94 | |
| 18 | 1999 | 23 | |
| 19 | Predictors of major in-hospital ischemic complications and length of hospital stay after coronary stenting. | 1998 | 1 |
| 20 | 1997 | 2 |
About Roberto Piva
Roberto Piva is a scholar working on Genetics, Pathology and Forensic Medicine, Cancer Research, Oncology and Hematology, having authored 113 papers that have together received 4.9k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (21 papers), Cancer-related Molecular Pathways (11 papers), Chronic Lymphocytic Leukemia Research (9 papers), Medical Imaging Techniques and Applications (8 papers), Multiple Myeloma Research and Treatments (7 papers), Glioma Diagnosis and Treatment (7 papers), Lung Cancer Treatments and Mutations (7 papers) and Cytokine Signaling Pathways and Interactions (6 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.2k citations), Oncology (1.5k citations), Cancer Research (779 citations), Genetics (449 citations) and Neurology (551 citations). Roberto Piva has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Giorgio Inghirami, Roberto Chiarle, Chiara Ambrogio, Claudia Voena, Antonio Migheli, Davide Schiffer, Massimo Santoro, Giuseppe Belardo, Jennifer E. Howes and David T. Levy. Their work appears in journals such as Blood, Cancers, Journal of Neuropathology & Experimental Neurology, British Journal of Haematology and Haematologica.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.